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GETTING READY FOR THE MOVE
This is one of the most crucial phases of the cloud
migration process, therefore organizations should
be prepared to gather required updates prior to the
move, such as determining feasibility of the
migration, cost implications, workload analysis, and
carrying out code inspection. A service provider
helps to choose the exact methodology for
migration, e.g. block level replication or data
streaming to minimize disruption, to be the most
cost-effective.
1
ESTIMATING THE CLOUD
MIGRATION COST
Cloud migration can cause you suffer financially if
not estimated thoroughly. Many organizations tend
to overestimate the resources that might be
required or fail to sometimes consider the capital
already spent on-premises. Either of these errors
can lead to severely inaccurate migration plans.
Therefore, having an accurate estimate can help
you to change plans to maximize value.
2
VERIFYING TOOL COMPATIBILITY
It is advisable to check that the monitoring tools are
compatible and credible in the cloud. Some of the
cloud native technologies may not be compatible
with the traditional toolsets. For instance—
infrastructure and application monitoring are
different in the cloud and are primarily executed via
API calls; legacy toolsets were not designed to
integrate with these.
3
ACCESSING PERFORMANCE AT
ALL STAGES
To assess performance it is important to keep an
eye at each stage of migration before, during and
after to get an accurate picture. There should be a
well-thought-out list of measurements with clear
goals to meet. For instance, percentage utilization is
an important metric in the cloud world.
4
5 Tips to Keep in Mind for
Improving Cloud
Performance
©2020 Compunnel Digital, Inc. All rights reserved
BUILDING A GOVERNANCE MODEL
Shifting workloads to the cloud without a proper
governance structure and oversight usually lead to
data sprawl, inadequate data protection, high costs,
and audit findings. Organizations should have a
governance model in place for the larger cloud
strategy of the migrated workloads.
5

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5 Tips to Keep in Mind for Improving Cloud Performance

  • 1. GETTING READY FOR THE MOVE This is one of the most crucial phases of the cloud migration process, therefore organizations should be prepared to gather required updates prior to the move, such as determining feasibility of the migration, cost implications, workload analysis, and carrying out code inspection. A service provider helps to choose the exact methodology for migration, e.g. block level replication or data streaming to minimize disruption, to be the most cost-effective. 1 ESTIMATING THE CLOUD MIGRATION COST Cloud migration can cause you suffer financially if not estimated thoroughly. Many organizations tend to overestimate the resources that might be required or fail to sometimes consider the capital already spent on-premises. Either of these errors can lead to severely inaccurate migration plans. Therefore, having an accurate estimate can help you to change plans to maximize value. 2 VERIFYING TOOL COMPATIBILITY It is advisable to check that the monitoring tools are compatible and credible in the cloud. Some of the cloud native technologies may not be compatible with the traditional toolsets. For instance— infrastructure and application monitoring are different in the cloud and are primarily executed via API calls; legacy toolsets were not designed to integrate with these. 3 ACCESSING PERFORMANCE AT ALL STAGES To assess performance it is important to keep an eye at each stage of migration before, during and after to get an accurate picture. There should be a well-thought-out list of measurements with clear goals to meet. For instance, percentage utilization is an important metric in the cloud world. 4 5 Tips to Keep in Mind for Improving Cloud Performance ©2020 Compunnel Digital, Inc. All rights reserved BUILDING A GOVERNANCE MODEL Shifting workloads to the cloud without a proper governance structure and oversight usually lead to data sprawl, inadequate data protection, high costs, and audit findings. Organizations should have a governance model in place for the larger cloud strategy of the migrated workloads. 5